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Strategic bidding and rebidding in electricity markets

Author

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  • Clements, A.E.
  • Hurn, A.S.
  • Li, Z.

Abstract

Successful deregulation in electricity markets depends crucially on the ability of market regulation to promote and maintain free competition. There are, however, important physical characteristics in electricity markets, such as the constraints imposed by the physical transmission infrastructure, that have the potential to undermine competition and provide opportunities for market participants to exploit temporary positions of market power. In this paper, the regional market of Queensland, Australia is analysed. It is found that strategic behaviour by generators exists and is closely related to the occurrence of the kind of extreme price events that characterise many deregulated electricity markets. In addition, rebidding behaviour by base-load generators immediately after extreme price events is shown to have negative impacts on the operation of the market. The key message is that promotion of competition in electricity markets can have undesirable consequences unless the regulatory policy is carefully designed to counter strategic behaviour by market participants.

Suggested Citation

  • Clements, A.E. & Hurn, A.S. & Li, Z., 2016. "Strategic bidding and rebidding in electricity markets," Energy Economics, Elsevier, vol. 59(C), pages 24-36.
    • Handle: RePEc:eee:eneeco:v:59:y:2016:i:c:p:24-36
    DOI: 10.1016/j.eneco.2016.07.011
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    1. Anderson, Edward J. & Hu, Xinin & Winchester, Donald, 2007. "Forward contracts in electricity markets: The Australian experience," Energy Policy, Elsevier, vol. 35(5), pages 3089-3103, May.
    2. Lízal, Lubomír M. & Tashpulatov, Sherzod N., 2014. "Do producers apply a capacity cutting strategy to increase prices? The case of the England and Wales electricity market," Energy Economics, Elsevier, vol. 43(C), pages 114-124.
    3. Alvaro Cartea & Marcelo Figueroa, 2005. "Pricing in Electricity Markets: A Mean Reverting Jump Diffusion Model with Seasonality," Applied Mathematical Finance, Taylor & Francis Journals, vol. 12(4), pages 313-335.
    4. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
    5. Furió, Dolores & Lucia, Julio J., 2009. "Congestion management rules and trading strategies in the Spanish electricity market," Energy Economics, Elsevier, vol. 31(1), pages 48-60, January.
    6. repec:qut:auncer:2012_5 is not listed on IDEAS
    7. Bystrom, Hans N. E., 2005. "Extreme value theory and extremely large electricity price changes," International Review of Economics & Finance, Elsevier, vol. 14(1), pages 41-55.
    8. Hu, Xinmin & Grozev, George & Batten, David, 2005. "Empirical observations of bidding patterns in Australia's National Electricity Market," Energy Policy, Elsevier, vol. 33(16), pages 2075-2086, November.
    9. Alvaro Cartea & Marcelo Figueroa & Helyette Geman, 2009. "Modelling Electricity Prices with Forward Looking Capacity Constraints," Applied Mathematical Finance, Taylor & Francis Journals, vol. 16(2), pages 103-122.
    10. Hideo Kozumi & Genya Kobayashi, 2009. "Gibbs Sampling Methods for Bayesian Quantile Regression," Discussion Papers 2009-02, Kobe University, Graduate School of Business Administration.
    11. Zhang, Ning, 2009. "Generators' bidding behavior in the NYISO day-ahead wholesale electricity market," Energy Economics, Elsevier, vol. 31(6), pages 897-913, November.
    12. Timothy Christensen & Stan Hurn & Kenneth Lindsay, 2009. "It Never Rains but it Pours: Modeling the Persistence of Spikes in Electricity Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 25-48.
    13. Alvaro Escribano & J. Ignacio Peña & Pablo Villaplana, 2011. "Modelling Electricity Prices: International Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 73(5), pages 622-650, October.
    14. Janczura, Joanna & Trück, Stefan & Weron, Rafał & Wolff, Rodney C., 2013. "Identifying spikes and seasonal components in electricity spot price data: A guide to robust modeling," Energy Economics, Elsevier, vol. 38(C), pages 96-110.
    15. Yu, Keming & Moyeed, Rana A., 2001. "Bayesian quantile regression," Statistics & Probability Letters, Elsevier, vol. 54(4), pages 437-447, October.
    16. Bunn, Derek W. & Martoccia, Maria, 2005. "Unilateral and collusive market power in the electricity pool of England and Wales," Energy Economics, Elsevier, vol. 27(2), pages 305-315, March.
    17. Frank Wolak, 2000. "An Empirical Analysis of the Impact of Hedge Contracts on Bidding Behavior in a Competitive Electricity Market," International Economic Journal, Taylor & Francis Journals, vol. 14(2), pages 1-39.
    18. Briggs, R.J. & Kleit, Andrew, 2013. "Resource adequacy reliability and the impacts of capacity subsidies in competitive electricity markets," Energy Economics, Elsevier, vol. 40(C), pages 297-305.
    19. Tamaschke, R. & Docwra, G. & Stillman, R., 2005. "Measuring market power in electricity generation: A long-term perspective using a programming model," Energy Economics, Elsevier, vol. 27(2), pages 317-335, March.
    20. M. T. Barlow, 2002. "A Diffusion Model For Electricity Prices," Mathematical Finance, Wiley Blackwell, vol. 12(4), pages 287-298, October.
    21. Schwenen, Sebastian, 2014. "Market design and supply security in imperfect power markets," Energy Economics, Elsevier, vol. 43(C), pages 256-263.
    22. Christensen, T.M. & Hurn, A.S. & Lindsay, K.A., 2012. "Forecasting spikes in electricity prices," International Journal of Forecasting, Elsevier, vol. 28(2), pages 400-411.
    23. Cepeda, Mauricio & Finon, Dominique, 2011. "Generation capacity adequacy in interdependent electricity markets," Energy Policy, Elsevier, vol. 39(6), pages 3128-3143, June.
    24. Bosco, Bruno & Parisio, Lucia & Pelagatti, Matteo, 2012. "Strategic bidding in vertically integrated power markets with an application to the Italian electricity auctions," Energy Economics, Elsevier, vol. 34(6), pages 2046-2057.
    25. Bustos-Salvagno, Javier, 2015. "Bidding behavior in the Chilean electricity market," Energy Economics, Elsevier, vol. 51(C), pages 288-299.
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    10. Yang, Peiwen & Dong, Jun & Lin, Jin & Liu, Yao & Fang, Debin, 2021. "Analysis of offering behavior of generation-side integrated energy aggregator in electricity market:A Bayesian evolutionary approach," Energy, Elsevier, vol. 228(C).
    11. Mwampashi, Muthe Mathias & Nikitopoulos, Christina Sklibosios & Rai, Alan & Konstandatos, Otto, 2022. "Large-scale and rooftop solar generation in the NEM: A tale of two renewables strategies," Energy Economics, Elsevier, vol. 115(C).
    12. Carlo Lucheroni & Carlo Mari, 2021. "Internal hedging of intermittent renewable power generation and optimal portfolio selection," Annals of Operations Research, Springer, vol. 299(1), pages 873-893, April.
    13. Mardi Dungey & Ali Ghahremanlou & Ngo Van Long, 2017. "Strategic Bidding of Electric Power Generating Companies: Evidence from the Australian National Energy Market," CESifo Working Paper Series 6819, CESifo.
    14. Poplavskaya, Ksenia & Lago, Jesus & de Vries, Laurens, 2020. "Effect of market design on strategic bidding behavior: Model-based analysis of European electricity balancing markets," Applied Energy, Elsevier, vol. 270(C).
    15. Ni Lei & Lanyun Chen & Chuanwang Sun & Yuan Tao, 2018. "Electricity Market Creation in China: Policy Options from Political Economics Perspective," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
    16. Carlo Mari & Emiliano Mari, 2021. "Gaussian clustering and jump-diffusion models of electricity prices: a deep learning analysis," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 1039-1062, December.
    17. Lin Han & Ivor Cribben & Stefan Trueck, 2022. "Extremal Dependence in Australian Electricity Markets," Papers 2202.09970, arXiv.org.
    18. Csereklyei, Zsuzsanna & Khezr, Peyman, 2024. "How do changes in settlement periods affect wholesale market prices? Evidence from Australia's National Electricity Market," Energy Economics, Elsevier, vol. 132(C).
    19. Morvaj, Boran & Evins, Ralph & Carmeliet, Jan, 2017. "Decarbonizing the electricity grid: The impact on urban energy systems, distribution grids and district heating potential," Applied Energy, Elsevier, vol. 191(C), pages 125-140.
    20. Antonello Rosato & Rosa Altilio & Rodolfo Araneo & Massimo Panella, 2017. "Prediction in Photovoltaic Power by Neural Networks," Energies, MDPI, vol. 10(7), pages 1-25, July.
    21. Oludamilare Bode Adewuyi & Mikaeel Ahmadi & Isaiah Opeyemi Olaniyi & Tomonobu Senjyu & Temitayo Olayemi Olowu & Paras Mandal, 2019. "Voltage Security-Constrained Optimal Generation Rescheduling for Available Transfer Capacity Enhancement in Deregulated Electricity Markets," Energies, MDPI, vol. 12(22), pages 1-16, November.

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    More about this item

    Keywords

    Electricity market; Transmission constraints; Synchronisation time; Ramp-up rate; Strategic bidding; Rebidding; Counter-price flow;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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